Industrial Engineering and Management

HEURISTICS AND METAHEURISTICS

General Data

Type of credits: ECTS
Number of credits: 5.00
Status: Mandatory
Type: Course
Academic Year: 1º
Term: 1º
Languages: English, Portuguese
Available for Mobility Students: No
Restricted to alliance: No
Code: Sin codigo

Coordination

Description

Laboratory
4

Instructors

João Bastos

Contents

CP1 - Introduction to Computer programming.
CP2 - The structure of optimization models.
CP3 - Heuristic algorithms.
PC4 - Nonpopulation meta-heuristics.
CP5 - Population meta-heuristics
CP6 - Evaluation and comparison of optimization algorithms.
CP7 - Advanced data structures

Learning Outcomes

Enable the student to use decision-making techniques and methodologies to support production and service environments including the identification and analysis of alternatives.
The student after attending this course unit should be able to:
A - Name and describe different decision support techniques for operations management
B - Implement operations management solutions based on algorithms, dispatch rules and metaheuristics using computer tools;
C - Differentiate the various models and tools for optimization of production processes and recognize forms of integration.
D - Evaluate and critique the different decision support techniques in operations management by identifying the benefits and disadvantages of each.